feat: open-source release — AI-driven autonomous optimization with live visibility
Major upgrade making the AI loop visible and the project ready for public release. UI / UX - Live AI Thinking Feed: streams reasoning, decisions, and outcomes per iteration - Parameter Changes panel: prev → new + reason for every AI-driven edit - Validation Activity panel: out-of-sample + sensitivity runs with live metrics - Early Termination banner: surfaces why optimization stopped (targets met, no profit, budget, stuck, user stop) - 3-phase tracker renamed Exploration / Iteration / Validation with live N/total - Best Result modal exposes Evolution Path showing how the AI arrived at the winner - Run-detail modal accessible from every recent run row - Setup form validation (dates, walk-forward order, params selection, AI targets) - Pause button removed; misleading sidebar nav consolidated to Dashboard / New Run / Reports / Source Backend - AIGuidedLoop streams ai_thinking, param_changes, ai_targets_met, ai_stuck - Pipeline emits validation_start / validation_run_start / validation_run_complete / validation_done - Pipeline emits early_termination on every early-stop path - /api/best_result returns best run + full evolution chain - /api/run/<id> + /api/runs sorted by ts - AIReasoner falls back to ANTHROPIC_API_KEY env var when config is a placeholder - Demo mode (APEX_DEMO_MODE=1) generates deterministic synthetic backtests so judges can run end-to-end without MT5 Open-source readiness - README.md with pitch, demo flow, architecture diagram, quickstart, event reference - LICENSE (MIT) - config.example.yaml template (config.yaml now git-ignored) - requirements.txt: added anthropic / requests / psutil / beautifulsoup4, capped majors - .gitignore: secrets, *.set, scratch screenshots, ea_registry.yaml - demo/run_demo.py: one-command offline demo runner - 10 polished screenshots for README + judge review
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LEGSTECH Optimizer
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# ── APEX MT5 Optimizer — example config ─────────────────────────────────────
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# Copy this file to `config.yaml` and fill in your values. config.yaml is
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# git-ignored so your secrets stay local.
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#
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# cp config.example.yaml config.yaml
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#
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# Or set ANTHROPIC_API_KEY as an environment variable and the app will pick it
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# up automatically (overrides whatever is in config.yaml).
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ai:
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enabled: true
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# Get your key from https://console.anthropic.com/
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# Leave as-is to use the ANTHROPIC_API_KEY environment variable.
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anthropic_api_key: ${ANTHROPIC_API_KEY}
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model: claude-opus-4-7 # claude-opus-4-7 | claude-sonnet-4-6 | claude-haiku-4-5
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timeout_seconds: 45
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analyze_every_n_iterations: 1
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# ── Strategy thresholds — quality gates a result must clear ────────────────
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thresholds:
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min_trades: 50
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min_profit_factor: 1.2
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min_calmar: 0.35
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min_wfv_ratio: 0.7
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max_oos_degradation: 0.3
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sensitivity_tolerance: 0.3
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# ── Scoring weights — how the ranker combines metrics ──────────────────────
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scoring:
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significance_trades: 150
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weights:
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calmar: 0.35
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profit_factor: 0.20
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mfe_capture: 0.20
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session_stability: 0.15
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recovery_factor: 0.10
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normalization:
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calmar: { lo: 0.0, hi: 4.0 }
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profit_factor: { lo: 1.0, hi: 3.5 }
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recovery_factor: { lo: 0.0, hi: 6.0 }
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mfe_capture: { lo: 0.0, hi: 1.0 }
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session_stability: { lo: 0.0, hi: 1.0 }
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# ── Broker / market context ────────────────────────────────────────────────
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broker:
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currency: USD
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deposit: 10000
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leverage: 100
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timezone_offset_hours: 2
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sessions:
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Asian: { start: 0, end: 9 }
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London: { start: 9, end: 18 }
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LondonNY: { start: 15, end: 18 }
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NY: { start: 15, end: 24 }
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# ── EA selection (auto-populated when you register an EA in /setup) ────────
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ea:
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name: LEGSTECH_EA_V2
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file: LEGSTECH_EA_V2
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symbol: XAUUSD
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timeframe: H1
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# ── MetaTrader 5 paths ─────────────────────────────────────────────────────
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# Adjust these to match your local MT5 installation.
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mt5:
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terminal_exe: C:/Program Files/MetaTrader 5/terminal64.exe
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appdata_path: C:/Users/<YOU>/AppData/Roaming/MetaQuotes/Terminal/<HASH>
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mql5_files_path: C:/Users/<YOU>/AppData/Roaming/MetaQuotes/Tester/<HASH>/Agent-127.0.0.1-3000/MQL5/Files
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report_subdir: runs
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tester_model: 4 # 1=Every tick, 2=Real ticks, 3=OHLC, 4=Open prices
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tester_timeout_seconds: 1800
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data_readiness_wait_seconds: 10
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kill_on_start: true
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shutdown_terminal: 1
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# ── Backtest periods ───────────────────────────────────────────────────────
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periods:
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train_start: 2022.01.01
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train_end: 2023.12.31
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validate_start: 2024.01.01
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validate_end: 2024.06.30
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oos_start: 2024.07.01
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oos_end: 2024.12.31
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# ── Optimization tuning ────────────────────────────────────────────────────
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optimization:
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max_iterations: 50
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convergence_threshold: 0.04
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convergence_window: 3
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mutation:
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max_hypotheses_per_cycle: 3
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dedup_lookback_runs: 10
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explore_fallback_after: 5
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analysis:
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equity_curve:
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min_r_squared: 0.7
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max_flatness_score: 0.5
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reversal:
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mfe_threshold_pips: 15.0
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min_reversal_rate: 0.15
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permutation_n: 500
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time_performance:
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min_trades_per_bucket: 10
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permutation_n: 1000
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z_score_threshold: -1.5
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entry_exit:
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poor_entry_quality: 0.4
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poor_exit_quality: 0.55
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# ── Paths ──────────────────────────────────────────────────────────────────
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paths:
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db: optimizer.db
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reports_dir: reports
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runs_dir: runs
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ea_registry: ea_registry.yaml
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log_file: optimizer.log
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logging:
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level: INFO
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file: optimizer.log
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